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Mass spectrometry-based metabolomics aims to profile the comprehensive collection of small molecules from a biological system. A typical experiment generally measures more signals than can be targeted by conventional data-dependent MS2 analysis. Innovative strategies to improve MS2 coverage and deconvolute the chimeric spectra are needed. 

Key takeaways from the presentation:

• Overview of motivation for sliding MS2 windows in metabolomics
• Example of metabolomics data from the ZenoTOF 8600 system
• Analysis of improved coverage and data quality

We are using the ZenoTOF 7600+ system to investigate human breast cancer subtypes, specifically metaplastic breast cancer, which is particularly detrimental. We also investigate metastatic cancer to the bone (40% of all metastasis sites of breast cancer). 

Key takeaways from the presentation:

• Precise quantification using SWATH DIA and ZT Scan DIA
• Data can be further mined post-acquisition.
• High throughput

Mass spectrometry-based proteomics depends on measurements that are both quantitatively accurate and precise. We used matrix-matched calibration curves to assess quantitative figures of merit for each peptide measured in a proteome across various acquisition settings on a ZenoTOF 8600 system in order to identify optimal settings for quantitative accuracy and precision.

Key takeaways from the presentation: 

• LOD and LOQ values are measured using Zeno SWATH and ZT scan DIA modes and using multiple gradient lengths for high-throughput analysis
• Assessment of quantitative figures of merit enables selection of optimized acquisition settings
• Peptides were identified and quantified using various search tools to evaluate differences between software approaches

Single-cell metabolomics has the potential to revolutionize our understanding of metabolism at the individual cell level. By integrating advanced sample cleaneup, meticulous reagent preparation, and cutting-edge instrumentation, our workflow enables reliable metabolomic profiling from as low as several thousand cells. 

Key takeaways from the presentation: 

• Enhanced sample preparation improves sensitivity
• High-purity reagents minimize analytical artifacts
• Advances in instrumentation enables low-input profiling

Drug development remains a key bottleneck despite rapid advances in drug discovery. To address this, Dash is building a fully automated robotics platform to streamline bioanalytical method development, sample preparation, and analysis, from early discovery to clinical samples.

Key takeaways from the presentation: 

• For LC/MS assays, the platform is integrated with a SCIEX 7500+ system.
• Case studies across multiple modalities demonstrate robust quantitative performance and high throughput across diverse assay formats, resulting in rapid turn around times of days, not months

Peak integration in protein capillary gel electrophoresis (CGE) is notoriously difficult due to the noisy, wavy baselines that can occur using standard UV methods. Native fluorescence detection (NFD) utilizes the intrinsic fluorescence capabilities of antibodies from their tryptophan, tyrosine, and phenylalanine residues. Teva evaluated NFD on the BioPhase 8800 system to determine how the baselines, reproducibility, and sensitivity of the assay compared to methods using traditional UV detection, while also ensuring that all minor peaks are detectable using both detection mechanisms. The data gathered at Teva shows that NFD led to notable improvements in the baseline, making automatic integration possible, increased assay sensitivity, while also maintaining comparable reported data and reproducibility to UV methods. Thus far, the improvements in detection from using NFD provide significant time savings in data processing, which makes the integration process more GMP and QC friendly.

Key takeaways from the presentation: 

• How native fluorescence detection enables easier peak integration compared to standard UV methods.
• What an increase in assay sensitivity means for CE-SDS
• How improvements streamline data processing and saves time in analytical workflows.

We have been developing methods to elucidate modes of action and implement high-throughput screening of covalent inhibition against priority targets from Mycobacterium tuberculosis using the Echo® MS+ system. Our first study utilizes the Echo® MS+ system to characterize the kinetics of a fast-acting covalent inhibitor against Pks13-AT (PMID: 40739353). We have since expanded our use of the EchoMS+ to include robust high-throughput screening of covalent libraries against multiple Mtb targets.

IgA nephropathy has been associated with galactose-deficient IgA1, but the identification of sites that contain only N-acetylgalactosamine (GalNAc) rather than the typical O-GalNAc-Gal-Sia (1/2) remains unclear. This uncertainty is partly attributable to the clustering of different sites within a short sequence region and the proline-rich repeat structure of the hinge sequence. This study used the benchtop ZenoTOF 7600 system, employing both electron-activated dissociation (EAD) and CID techniques, to characterize IgA hinge O-glycosylation.

Key takeaways from the presentation: 

• Fine-tuned EAciD fragmentation can accurately localize O-glycans on proline-rich peptides
• An LC-MRMHR strategy combined with Zenotrapping improves sensitivity
• High-quality LC separation is important for reliable MSMS identification of isomer mixtures

Bioreactor monitoring for product quality, with live monitoring of small-scale bioreactors and spent media analysis provides feedback and control during cell culture. Discover how the Echo® MS+ system and its applications in bioreactor monitoring and cell line development can provide rapid, robust, and high-throughput analysis with strong correlation to traditional LC-MS methods, enabling the analysis of crude supernatants and intact proteins.

Discover how the Echo® MS+ system can streamline cell line development with an application for small-scale bioreactor monitoring with rapid, robust, and high-throughput analysis.

Next-generation mass spectrometry is transforming regulated bioanalysis by improving robustness, achieving pg/mL sensitivities, minimizing service disruptions, and enabling scalable, compliant workflows. This presentation explores how these advancements support GLP environments while maintaining data integrity and regulatory readiness.

Key takeaways from the presentation:

• Enhanced robustness and sensitivity: Delivers consistent, high-quality data across study durations and complex matrices, supporting FDA/EMA expectations for method validation and reproducibility. Achieve reliable quantitation down to low pg/mL levels, essential for early-phase and biomarker studies.
• Improved serviceability: Smarter diagnostics and reduced maintenance help ensure instrument uptime in compliance-driven environments.
• Scalable, compliant efficiency: Enables faster method deployment and higher throughput while maintaining audit-readiness and GLP compliance.

Bioanalysis of siRNAs and ASOs is a key step in the oligonucleotide drug development. A new simple extraction method; EPP; for protein precipitation with help of amines is demonstrated here. combination with fast and qcurate LC-MS technology is shown here reaching high sensitivity and accuracy.

Charge variant profiling is vital for biotherapeutic development, as it tracks molecular attributes that impact drug safety and efficacy. However, analyzing complex biologic modalities like Fc fusion proteins poses challenges because of their heterogeneity, including extensive glycosylation and sialylation. This case study discusses the strength of online icIEF-UV/MS in identifying problematic acidic variants and post-translational modifications, enabling risk mitigation and a deeper mechanistic understanding of highly glycosylated therapeutics.

Key takeaways from the presentation: 

• Online icIEF-UV/MS enables rapid and robust analysis of charge variants, even in highly heterogeneous proteins.
• Enzymatic treatments and optimized conditions improve resolution and help identify post-translational modifications and glycan-related variants.
• This approach is a valuable tool for accelerating biologics pipeline development and in-depth protein characterization.
• Rapid identification of PTMs enables risk mitigation in developing highly glycosylated therapeutics.

Bioaccumulation of PFAS in the human body due to environmental exposure is a growing public health concern. Because PFAS are widespread in both the environment and everyday consumer products, there is an urgent need for quantitative tools that can accurately and precisely measure low levels of PFAS in biological fluids, helping to assess their bioaccumulation and overall effects on the human body. This presentation will showcase innovative approaches using LC-MS/MS to study human exposure to short chain PFAS which are common breakdown products of other larger PFAS used in products such as F-gases, fluoropolymers and pesticides.

Key takeaways from the presentation:

• Introduce robust and efficient LC-MS/MS methods to measure bio exposure of trifluoroacetic acid (TFA) and other ultra short PFAS in human urine and blood
• Evaluate the impact of short chain PFAS exposure on human health and track the short- and long-term biological responses from the human body
• Demonstrate how the deployment of these methods for high-throughput biomonitoring studies can help in determining the potential toxic effects of ultra short PFAS bioaccumulation associated with human exposure 

Optimization of high-throughput LC-MS/MS workflows introduces significant efficiency gains for routine contaminant analysis. However, understanding the technical limitations of mass spectrometry platforms remains critical, as these can directly influence method performance, sensitivity, and reliability.

Key takeaways from the presentation:

• Evaluation of the instrumental platforms showed that technological advancements enhanced data quality and precision at very low concentrations, enabling lower limits of quantitation.
• MRM acquisition settings of 1 ms dwell, 2 ms pause, 5 ms settling time enabled efficient data collection while maintaining data quality, even when analyzing a large number of analytes within an 11-minute runtime.
• Throughput optimization enhances efficiency, enabling up to 22 tons of CO2 emission reduction per year while delivering measurable financial benefits for analytical laboratories.